Overview

Dataset statistics

Number of variables23
Number of observations4061
Missing cells5241
Missing cells (%)5.6%
Total size in memory729.8 KiB
Average record size in memory184.0 B

Variable types

Numeric23

Alerts

Age is highly overall correlated with Work and 1 other fieldsHigh correlation
Work is highly overall correlated with AgeHigh correlation
DM is highly overall correlated with DM_Type and 1 other fieldsHigh correlation
Year_DM_Diagnosed is highly overall correlated with DM_DurationHigh correlation
DM_Duration is highly overall correlated with Year_DM_DiagnosedHigh correlation
DM_Type is highly overall correlated with DM and 1 other fieldsHigh correlation
HbA1C_Admission_Value is highly overall correlated with DM and 2 other fieldsHigh correlation
Waist is highly overall correlated with BMIHigh correlation
Fasting_Blood_Glucose_Value_SI_Units is highly overall correlated with HbA1C_Admission_ValueHigh correlation
BMI is highly overall correlated with WaistHigh correlation
Creatinine_Clearance is highly overall correlated with AgeHigh correlation
Year_DM_Diagnosed has 1871 (46.1%) missing valuesMissing
DM_Duration has 1871 (46.1%) missing valuesMissing
HbA1C_Admission_Value has 1499 (36.9%) missing valuesMissing
Year_DM_Diagnosed is highly skewed (γ1 = -26.51372278)Skewed
DM_Duration is highly skewed (γ1 = 26.52116445)Skewed
Cholesterol_Value_SI_Units is highly skewed (γ1 = 45.73511646)Skewed
Triglycerides_Value_SI_Units is highly skewed (γ1 = 22.51922208)Skewed
Gender has 1364 (33.6%) zerosZeros
Education has 969 (23.9%) zerosZeros
Work has 2923 (72.0%) zerosZeros
Cardiac_Arrest_Admission has 3974 (97.9%) zerosZeros
Non_Cardiac_Condition has 3943 (97.1%) zerosZeros
Hypertension has 1432 (35.3%) zerosZeros
Dyslipidemia has 1766 (43.5%) zerosZeros
DM has 1883 (46.4%) zerosZeros
DM_Type has 1872 (46.1%) zerosZeros
DM_Treatment has 103 (2.5%) zerosZeros
Smoking_History has 982 (24.2%) zerosZeros
Lipid_24_Collected has 599 (14.8%) zerosZeros

Reproduction

Analysis started2023-03-14 16:23:32.893017
Analysis finished2023-03-14 16:25:18.113317
Duration1 minute and 45.22 seconds
Software versionydata-profiling vv4.0.0
Download configurationconfig.json

Variables

Gender
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66412214
Minimum0
Maximum1
Zeros1364
Zeros (%)33.6%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:18.198825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4723546
Coefficient of variation (CV)0.71124658
Kurtosis-1.5173706
Mean0.66412214
Median Absolute Deviation (MAD)0
Skewness-0.69525313
Sum2697
Variance0.22311887
MonotonicityNot monotonic
2023-03-14T16:25:18.378748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%
ValueCountFrequency (%)
0 1364
33.6%
1 2697
66.4%
ValueCountFrequency (%)
1 2697
66.4%
0 1364
33.6%

Age
Real number (ℝ)

Distinct79
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.351884
Minimum18
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:18.574208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile40
Q152
median60
Q369
95-th percentile81
Maximum112
Range94
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.727595
Coefficient of variation (CV)0.21088977
Kurtosis-0.12256521
Mean60.351884
Median Absolute Deviation (MAD)9
Skewness0.0038224183
Sum245089
Variance161.99166
MonotonicityNot monotonic
2023-03-14T16:25:18.917481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 149
 
3.7%
72 138
 
3.4%
60 132
 
3.3%
57 132
 
3.3%
67 121
 
3.0%
59 119
 
2.9%
52 117
 
2.9%
56 114
 
2.8%
64 112
 
2.8%
70 111
 
2.7%
Other values (69) 2816
69.3%
ValueCountFrequency (%)
18 1
 
< 0.1%
23 1
 
< 0.1%
24 3
0.1%
25 6
0.1%
26 5
0.1%
27 4
0.1%
28 5
0.1%
29 5
0.1%
30 5
0.1%
31 7
0.2%
ValueCountFrequency (%)
112 1
 
< 0.1%
102 1
 
< 0.1%
99 5
0.1%
97 2
 
< 0.1%
96 1
 
< 0.1%
95 3
0.1%
94 6
0.1%
93 6
0.1%
92 6
0.1%
91 3
0.1%

Education
Real number (ℝ)

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9202167
Minimum0
Maximum6
Zeros969
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:19.103961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4284366
Coefficient of variation (CV)0.74389343
Kurtosis-0.55103223
Mean1.9202167
Median Absolute Deviation (MAD)1
Skewness0.32913589
Sum7798
Variance2.0404311
MonotonicityNot monotonic
2023-03-14T16:25:19.314203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 1965
48.4%
0 969
23.9%
4 645
 
15.9%
1 249
 
6.1%
5 164
 
4.0%
3 65
 
1.6%
6 4
 
0.1%
ValueCountFrequency (%)
0 969
23.9%
1 249
 
6.1%
2 1965
48.4%
3 65
 
1.6%
4 645
 
15.9%
5 164
 
4.0%
6 4
 
0.1%
ValueCountFrequency (%)
6 4
 
0.1%
5 164
 
4.0%
4 645
 
15.9%
3 65
 
1.6%
2 1965
48.4%
1 249
 
6.1%
0 969
23.9%

Work
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31667077
Minimum0
Maximum3
Zeros2923
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:19.555245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53974118
Coefficient of variation (CV)1.7044237
Kurtosis1.5830841
Mean0.31667077
Median Absolute Deviation (MAD)0
Skewness1.51927
Sum1286
Variance0.29132054
MonotonicityNot monotonic
2023-03-14T16:25:19.767425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
0 2923
72.0%
1 994
 
24.5%
2 140
 
3.4%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 140
 
3.4%
1 994
 
24.5%
0 2923
72.0%

Cardiac_Arrest_Admission
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.025855701
Minimum0
Maximum3
Zeros3974
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:20.012439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18981787
Coefficient of variation (CV)7.3414323
Kurtosis97.814758
Mean0.025855701
Median Absolute Deviation (MAD)0
Skewness8.9927267
Sum105
Variance0.036030825
MonotonicityNot monotonic
2023-03-14T16:25:20.259557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
0 3974
97.9%
1 73
 
1.8%
2 10
 
0.2%
3 4
 
0.1%
ValueCountFrequency (%)
3 4
 
0.1%
2 10
 
0.2%
1 73
 
1.8%
0 3974
97.9%

Non_Cardiac_Condition
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.030041862
Minimum0
Maximum2
Zeros3943
Zeros (%)97.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:20.457711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.17640002
Coefficient of variation (CV)5.8718074
Kurtosis38.051304
Mean0.030041862
Median Absolute Deviation (MAD)0
Skewness6.0384687
Sum122
Variance0.031116969
MonotonicityNot monotonic
2023-03-14T16:25:20.634117image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
0 3943
97.1%
1 114
 
2.8%
2 4
 
0.1%
ValueCountFrequency (%)
2 4
 
0.1%
1 114
 
2.8%
0 3943
97.1%

Hypertension
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64860872
Minimum0
Maximum2
Zeros1432
Zeros (%)35.3%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:20.799154image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.48003608
Coefficient of variation (CV)0.74010119
Kurtosis-1.561588
Mean0.64860872
Median Absolute Deviation (MAD)0
Skewness-0.58935592
Sum2634
Variance0.23043464
MonotonicityNot monotonic
2023-03-14T16:25:20.950586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2624
64.6%
0 1432
35.3%
2 5
 
0.1%
ValueCountFrequency (%)
0 1432
35.3%
1 2624
64.6%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2624
64.6%
0 1432
35.3%

Dyslipidemia
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56636296
Minimum0
Maximum2
Zeros1766
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:21.114227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.49811595
Coefficient of variation (CV)0.87949952
Kurtosis-1.8650935
Mean0.56636296
Median Absolute Deviation (MAD)0
Skewness-0.23800234
Sum2300
Variance0.2481195
MonotonicityNot monotonic
2023-03-14T16:25:21.253455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2290
56.4%
0 1766
43.5%
2 5
 
0.1%
ValueCountFrequency (%)
0 1766
43.5%
1 2290
56.4%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2290
56.4%
0 1766
43.5%

DM
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53755233
Minimum0
Maximum2
Zeros1883
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:21.469218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.50111287
Coefficient of variation (CV)0.93221226
Kurtosis-1.9089438
Mean0.53755233
Median Absolute Deviation (MAD)0
Skewness-0.12131033
Sum2183
Variance0.25111411
MonotonicityNot monotonic
2023-03-14T16:25:21.685907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2173
53.5%
0 1883
46.4%
2 5
 
0.1%
ValueCountFrequency (%)
0 1883
46.4%
1 2173
53.5%
2 5
 
0.1%
ValueCountFrequency (%)
2 5
 
0.1%
1 2173
53.5%
0 1883
46.4%

Year_DM_Diagnosed
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct48
Distinct (%)2.2%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1997.6347
Minimum9
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:21.979647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile1984
Q11996
median2002
Q32007
95-th percentile2011
Maximum2022
Range2013
Interquartile range (IQR)11

Descriptive statistics

Standard deviation73.9518
Coefficient of variation (CV)0.037019681
Kurtosis709.86491
Mean1997.6347
Median Absolute Deviation (MAD)5
Skewness-26.513723
Sum4374820
Variance5468.8688
MonotonicityNot monotonic
2023-03-14T16:25:22.262058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2002 284
 
7.0%
2007 169
 
4.2%
1992 151
 
3.7%
1997 149
 
3.7%
2000 117
 
2.9%
2008 112
 
2.8%
2006 101
 
2.5%
2003 99
 
2.4%
2010 87
 
2.1%
2011 81
 
2.0%
Other values (38) 840
20.7%
(Missing) 1871
46.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
1967 1
 
< 0.1%
1970 1
 
< 0.1%
1972 2
< 0.1%
1973 3
0.1%
1974 1
 
< 0.1%
1975 1
 
< 0.1%
1976 1
 
< 0.1%
ValueCountFrequency (%)
2022 1
 
< 0.1%
2013 1
 
< 0.1%
2012 60
 
1.5%
2011 81
2.0%
2010 87
2.1%
2009 76
1.9%
2008 112
2.8%
2007 169
4.2%
2006 101
2.5%
2005 70
1.7%

DM_Duration
Real number (ℝ)

HIGH CORRELATION  MISSING  SKEWED 

Distinct46
Distinct (%)2.1%
Missing1871
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean14.622374
Minimum-10
Maximum2004
Zeros30
Zeros (%)0.7%
Negative1
Negative (%)< 0.1%
Memory size31.9 KiB
2023-03-14T16:25:22.524528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile1
Q16
median10
Q316
95-th percentile28
Maximum2004
Range2014
Interquartile range (IQR)10

Descriptive statistics

Standard deviation73.960247
Coefficient of variation (CV)5.058019
Kurtosis710.13298
Mean14.622374
Median Absolute Deviation (MAD)5
Skewness26.521164
Sum32023
Variance5470.1182
MonotonicityNot monotonic
2023-03-14T16:25:22.744190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 340
 
8.4%
20 199
 
4.9%
15 173
 
4.3%
5 172
 
4.2%
12 115
 
2.8%
6 103
 
2.5%
7 91
 
2.2%
4 88
 
2.2%
2 88
 
2.2%
1 83
 
2.0%
Other values (36) 738
 
18.2%
(Missing) 1871
46.1%
ValueCountFrequency (%)
-10 1
 
< 0.1%
0 30
 
0.7%
1 83
2.0%
2 88
2.2%
3 78
1.9%
4 88
2.2%
5 172
4.2%
6 103
2.5%
7 91
2.2%
8 82
2.0%
ValueCountFrequency (%)
2004 1
 
< 0.1%
2003 1
 
< 0.1%
1992 1
 
< 0.1%
45 1
 
< 0.1%
42 1
 
< 0.1%
40 5
0.1%
38 1
 
< 0.1%
37 2
 
< 0.1%
36 1
 
< 0.1%
35 7
0.2%

DM_Type
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0716572
Minimum0
Maximum2
Zeros1872
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:22.929399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile2
Maximum2
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.99433714
Coefficient of variation (CV)0.92784998
Kurtosis-1.9737973
Mean1.0716572
Median Absolute Deviation (MAD)0
Skewness-0.14373466
Sum4352
Variance0.98870634
MonotonicityNot monotonic
2023-03-14T16:25:23.080489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 2163
53.3%
0 1872
46.1%
1 26
 
0.6%
ValueCountFrequency (%)
0 1872
46.1%
1 26
 
0.6%
2 2163
53.3%
ValueCountFrequency (%)
2 2163
53.3%
1 26
 
0.6%
0 1872
46.1%

DM_Treatment
Real number (ℝ)

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3462201
Minimum0
Maximum9
Zeros103
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:23.274207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q38
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0130862
Coefficient of variation (CV)0.31721026
Kurtosis1.6568194
Mean6.3462201
Median Absolute Deviation (MAD)1
Skewness-1.4716572
Sum25772
Variance4.0525159
MonotonicityNot monotonic
2023-03-14T16:25:23.445509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1873
46.1%
8 896
22.1%
5 489
 
12.0%
3 338
 
8.3%
9 164
 
4.0%
0 103
 
2.5%
1 100
 
2.5%
4 63
 
1.6%
6 34
 
0.8%
2 1
 
< 0.1%
ValueCountFrequency (%)
0 103
 
2.5%
1 100
 
2.5%
2 1
 
< 0.1%
3 338
 
8.3%
4 63
 
1.6%
5 489
 
12.0%
6 34
 
0.8%
7 1873
46.1%
8 896
22.1%
9 164
 
4.0%
ValueCountFrequency (%)
9 164
 
4.0%
8 896
22.1%
7 1873
46.1%
6 34
 
0.8%
5 489
 
12.0%
4 63
 
1.6%
3 338
 
8.3%
2 1
 
< 0.1%
1 100
 
2.5%
0 103
 
2.5%

Smoking_History
Real number (ℝ)

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93351391
Minimum0
Maximum4
Zeros982
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:23.602119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.68085153
Coefficient of variation (CV)0.72934267
Kurtosis1.0203607
Mean0.93351391
Median Absolute Deviation (MAD)0
Skewness0.59385122
Sum3791
Variance0.46355881
MonotonicityNot monotonic
2023-03-14T16:25:23.750899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2464
60.7%
0 982
 
24.2%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
0 982
 
24.2%
1 2464
60.7%
2 524
 
12.9%
3 85
 
2.1%
4 6
 
0.1%
ValueCountFrequency (%)
4 6
 
0.1%
3 85
 
2.1%
2 524
 
12.9%
1 2464
60.7%
0 982
 
24.2%

HbA1C_Admission_Value
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct384
Distinct (%)15.0%
Missing1499
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean7.5797931
Minimum0
Maximum88.4
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:24.118816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q15.9
median7
Q38.9225
95-th percentile11.9095
Maximum88.4
Range88.4
Interquartile range (IQR)3.0225

Descriptive statistics

Standard deviation2.7954479
Coefficient of variation (CV)0.36880267
Kurtosis272.19291
Mean7.5797931
Median Absolute Deviation (MAD)1.37
Skewness9.9580976
Sum19419.43
Variance7.814529
MonotonicityNot monotonic
2023-03-14T16:25:24.315137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 144
 
3.5%
5.9 71
 
1.7%
5.7 69
 
1.7%
5.8 65
 
1.6%
5.3 53
 
1.3%
5.6 52
 
1.3%
5.5 52
 
1.3%
7 49
 
1.2%
5 48
 
1.2%
5.4 48
 
1.2%
Other values (374) 1911
47.1%
(Missing) 1499
36.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.5 1
 
< 0.1%
3.6 1
 
< 0.1%
3.75 1
 
< 0.1%
3.9 12
0.3%
4 23
0.6%
4.01 1
 
< 0.1%
4.1 4
 
0.1%
ValueCountFrequency (%)
88.4 1
< 0.1%
20 1
< 0.1%
17.5 1
< 0.1%
16.6 1
< 0.1%
16 2
< 0.1%
15.8 1
< 0.1%
15.7 2
< 0.1%
15.4 1
< 0.1%
15.3 1
< 0.1%
15.2 2
< 0.1%

Lipid_24_Collected
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8542231
Minimum0
Maximum2
Zeros599
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:24.477807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.35777779
Coefficient of variation (CV)0.41883413
Kurtosis2.0043612
Mean0.8542231
Median Absolute Deviation (MAD)0
Skewness-1.8947918
Sum3469
Variance0.12800494
MonotonicityNot monotonic
2023-03-14T16:25:24.622554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 3455
85.1%
0 599
 
14.8%
2 7
 
0.2%
ValueCountFrequency (%)
0 599
 
14.8%
1 3455
85.1%
2 7
 
0.2%
ValueCountFrequency (%)
2 7
 
0.2%
1 3455
85.1%
0 599
 
14.8%

Heart_Rate
Real number (ℝ)

Distinct141
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.184157
Minimum0
Maximum222
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:24.947684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57
Q171
median82
Q396
95-th percentile120
Maximum222
Range222
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.073445
Coefficient of variation (CV)0.24738691
Kurtosis3.2701036
Mean85.184157
Median Absolute Deviation (MAD)12
Skewness1.0135174
Sum345932.86
Variance444.0901
MonotonicityNot monotonic
2023-03-14T16:25:25.219289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 298
 
7.3%
90 203
 
5.0%
70 202
 
5.0%
100 151
 
3.7%
78 136
 
3.3%
88 126
 
3.1%
75 118
 
2.9%
72 105
 
2.6%
85 101
 
2.5%
76 88
 
2.2%
Other values (131) 2533
62.4%
ValueCountFrequency (%)
0 5
0.1%
8 1
 
< 0.1%
25 2
 
< 0.1%
27 1
 
< 0.1%
30 3
 
0.1%
34 2
 
< 0.1%
35 3
 
0.1%
36 2
 
< 0.1%
38 5
0.1%
40 11
0.3%
ValueCountFrequency (%)
222 1
 
< 0.1%
220 1
 
< 0.1%
200 2
< 0.1%
187 1
 
< 0.1%
180 4
0.1%
175 1
 
< 0.1%
174 1
 
< 0.1%
172 2
< 0.1%
170 3
0.1%
168 3
0.1%

Waist
Real number (ℝ)

Distinct206
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.54489
Minimum25
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:25.453807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile72
Q188
median98
Q3109
95-th percentile124
Maximum194
Range169
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.298914
Coefficient of variation (CV)0.17734311
Kurtosis2.3797057
Mean97.54489
Median Absolute Deviation (MAD)10
Skewness-0.34474246
Sum396129.8
Variance299.25242
MonotonicityNot monotonic
2023-03-14T16:25:25.752752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 225
 
5.5%
100 171
 
4.2%
85 158
 
3.9%
110 151
 
3.7%
98 145
 
3.6%
105 132
 
3.3%
80 127
 
3.1%
88 123
 
3.0%
95 123
 
3.0%
102 111
 
2.7%
Other values (196) 2595
63.9%
ValueCountFrequency (%)
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
30 2
 
< 0.1%
32 9
0.2%
33 4
0.1%
34 5
0.1%
35 1
 
< 0.1%
36 8
0.2%
37 1
 
< 0.1%
ValueCountFrequency (%)
194 1
 
< 0.1%
191 2
 
< 0.1%
165 1
 
< 0.1%
160 1
 
< 0.1%
155 1
 
< 0.1%
152 1
 
< 0.1%
150 4
0.1%
148 5
0.1%
147 1
 
< 0.1%
146 1
 
< 0.1%
Distinct1737
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.473365
Minimum0.33
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:26.227965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.33
5-th percentile4.6
Q15.995
median7.5201
Q39.3168
95-th percentile14.9
Maximum235
Range234.67
Interquartile range (IQR)3.3218

Descriptive statistics

Standard deviation7.6706603
Coefficient of variation (CV)0.90526731
Kurtosis451.70906
Mean8.473365
Median Absolute Deviation (MAD)1.6401
Skewness18.375073
Sum34410.335
Variance58.839029
MonotonicityNot monotonic
2023-03-14T16:25:26.540456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 79
 
1.9%
5.2 76
 
1.9%
5 68
 
1.7%
5.6 68
 
1.7%
4.8 55
 
1.4%
5.4 53
 
1.3%
5.8 53
 
1.3%
6.2 53
 
1.3%
5.5 52
 
1.3%
5.7 49
 
1.2%
Other values (1727) 3455
85.1%
ValueCountFrequency (%)
0.33 1
< 0.1%
0.38 1
< 0.1%
0.46 1
< 0.1%
0.47 1
< 0.1%
0.58 1
< 0.1%
0.61 1
< 0.1%
0.71 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
1.01 1
< 0.1%
ValueCountFrequency (%)
235 1
< 0.1%
230 1
< 0.1%
156 1
< 0.1%
141 1
< 0.1%
135 1
< 0.1%
107 1
< 0.1%
100 1
< 0.1%
99 1
< 0.1%
87 1
< 0.1%
81 1
< 0.1%
Distinct882
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9904053
Minimum0.07
Maximum489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:26.829545image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile2.9
Q13.9
median4.7
Q35.5
95-th percentile7
Maximum489
Range488.93
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation9.1329207
Coefficient of variation (CV)1.830096
Kurtosis2241.8742
Mean4.9904053
Median Absolute Deviation (MAD)0.8
Skewness45.735116
Sum20266.036
Variance83.41024
MonotonicityNot monotonic
2023-03-14T16:25:27.036846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 82
 
2.0%
4.5 80
 
2.0%
5.2 74
 
1.8%
4.6 73
 
1.8%
4.2 73
 
1.8%
5.6 70
 
1.7%
4.9 67
 
1.6%
4.1 67
 
1.6%
4 66
 
1.6%
4.8 65
 
1.6%
Other values (872) 3344
82.3%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 3
0.1%
0.1 2
< 0.1%
0.13 1
 
< 0.1%
0.16 1
 
< 0.1%
0.17 2
< 0.1%
0.18 1
 
< 0.1%
0.7 1
 
< 0.1%
1 1
 
< 0.1%
1.2 1
 
< 0.1%
ValueCountFrequency (%)
489 1
< 0.1%
308 1
< 0.1%
45.12 1
< 0.1%
45.1018 1
< 0.1%
26.3625 1
< 0.1%
25.7284 1
< 0.1%
24.6191 1
< 0.1%
24.5723 1
< 0.1%
24.4742 1
< 0.1%
15.7 1
< 0.1%
Distinct801
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6871261
Minimum0.01
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:27.261112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.6
Q11
median1.43
Q32
95-th percentile3.5
Maximum71
Range70.99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5775288
Coefficient of variation (CV)0.93503904
Kurtosis927.69098
Mean1.6871261
Median Absolute Deviation (MAD)0.4781
Skewness22.519222
Sum6851.4192
Variance2.4885971
MonotonicityNot monotonic
2023-03-14T16:25:27.494422image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
2.7%
1.2 107
 
2.6%
1.1 107
 
2.6%
1.3 102
 
2.5%
0.8 99
 
2.4%
0.9 98
 
2.4%
1.5 97
 
2.4%
1.4 91
 
2.2%
1.6 91
 
2.2%
1.8 80
 
2.0%
Other values (791) 3081
75.9%
ValueCountFrequency (%)
0.01 6
0.1%
0.02 3
0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 1
 
< 0.1%
0.18 1
 
< 0.1%
0.2 1
 
< 0.1%
0.25 1
 
< 0.1%
ValueCountFrequency (%)
71 1
< 0.1%
17.6 1
< 0.1%
17.4 1
< 0.1%
17.1603 1
< 0.1%
14.55 1
< 0.1%
11.56 1
< 0.1%
11.01 1
< 0.1%
10.59 1
< 0.1%
9.72 1
< 0.1%
9.14 1
< 0.1%

BMI
Real number (ℝ)

Distinct1242
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.995641
Minimum13.34
Maximum342.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:28.216493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13.34
5-th percentile21.5
Q124.96
median27.77
Q331.53
95-th percentile39.51
Maximum342.78
Range329.44
Interquartile range (IQR)6.57

Descriptive statistics

Standard deviation8.8461379
Coefficient of variation (CV)0.3050851
Kurtosis514.82722
Mean28.995641
Median Absolute Deviation (MAD)3.23
Skewness17.032325
Sum117751.3
Variance78.254156
MonotonicityNot monotonic
2023-03-14T16:25:28.644414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.71 40
 
1.0%
27.68 38
 
0.9%
24.22 36
 
0.9%
29.41 30
 
0.7%
29.76 28
 
0.7%
27.34 27
 
0.7%
31.25 27
 
0.7%
25.95 26
 
0.6%
31.22 25
 
0.6%
28.73 23
 
0.6%
Other values (1232) 3761
92.6%
ValueCountFrequency (%)
13.34 1
< 0.1%
14.84 1
< 0.1%
15.78 1
< 0.1%
16.42 2
< 0.1%
16.44 1
< 0.1%
16.77 1
< 0.1%
16.82 2
< 0.1%
16.9 1
< 0.1%
17.04 1
< 0.1%
17.07 1
< 0.1%
ValueCountFrequency (%)
342.78 1
< 0.1%
233.4 1
< 0.1%
221.14 1
< 0.1%
96.88 1
< 0.1%
69.25 1
< 0.1%
66.33 1
< 0.1%
65.38 1
< 0.1%
65.02 1
< 0.1%
63.57 1
< 0.1%
61.33 1
< 0.1%

Creatinine_Clearance
Real number (ℝ)

Distinct3497
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.178744
Minimum0.29
Maximum1164.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.9 KiB
2023-03-14T16:25:28.926610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile25
Q157.43
median83.13
Q3110.7
95-th percentile166.48
Maximum1164.7
Range1164.41
Interquartile range (IQR)53.27

Descriptive statistics

Standard deviation52.937504
Coefficient of variation (CV)0.60034314
Kurtosis101.86376
Mean88.178744
Median Absolute Deviation (MAD)26.64
Skewness6.1204652
Sum358093.88
Variance2802.3794
MonotonicityNot monotonic
2023-03-14T16:25:29.203574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.4642 6
 
0.1%
83.2 6
 
0.1%
86.1 6
 
0.1%
110.7 4
 
0.1%
76.16 4
 
0.1%
67.65 4
 
0.1%
97.17 4
 
0.1%
79.9 4
 
0.1%
76.26 4
 
0.1%
61.55 3
 
0.1%
Other values (3487) 4016
98.9%
ValueCountFrequency (%)
0.29 1
< 0.1%
0.52 1
< 0.1%
0.55 1
< 0.1%
0.58 1
< 0.1%
0.67 1
< 0.1%
0.78 1
< 0.1%
0.81 1
< 0.1%
0.98 1
< 0.1%
0.99 1
< 0.1%
1 1
< 0.1%
ValueCountFrequency (%)
1164.7 1
< 0.1%
1153.62 1
< 0.1%
875.43 1
< 0.1%
684.96 1
< 0.1%
626.18 1
< 0.1%
500.2 1
< 0.1%
460.63 1
< 0.1%
363.73 1
< 0.1%
321.8 1
< 0.1%
298.68 1
< 0.1%

Interactions

2023-03-14T16:25:11.599478image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:33.615891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:37.948150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:42.093099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:46.425762image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.828432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:55.327593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:00.681648image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:05.340714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:09.836401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:14.484214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:18.985534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:23.510383image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:27.986323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:32.194516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:36.890949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:40.907470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:45.493051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:49.576473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:54.132674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:58.399489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:02.744120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:07.124049image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:11.785228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:33.772218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:38.134845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:42.272453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:46.628376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.986373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:24:39.929270image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:44.445615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:48.695121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:53.189427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:57.525997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:01.804020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:06.193315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:10.690623image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:15.528441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:37.224272image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:41.374641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:45.596843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.122599image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:54.509079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:59.636770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:04.506349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:08.985031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:13.706431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:18.199865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:22.724579image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:27.215800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:31.520227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:35.990156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:40.096656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:44.632118image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:48.886029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:53.365221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:57.675653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:01.988662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:06.364621image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:10.860842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:15.872260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:37.395750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:41.520946image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:45.811515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.286017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:54.786620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:59.949784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:04.674729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:09.184160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:13.872857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:18.387629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:22.892659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:27.402155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:31.670120image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:36.178165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:40.267027image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:44.841496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:49.033875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:53.564723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:57.845285image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:02.174670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:06.555959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:11.034637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:16.183367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:37.588403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:41.726640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:46.057057image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.490576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:54.967273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:00.161289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:04.943926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:09.462488image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:14.117379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:18.580114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:23.127069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:27.622600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:31.856416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:36.462677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:40.461163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:45.031128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:49.210099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-03-14T16:25:06.727888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:11.232349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:16.403661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:37.762090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:41.888809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:46.237553image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:50.667166image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:23:55.133868image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:00.347683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:05.142304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:09.645880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:14.325348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:18.764266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:23.316514image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:27.813058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:32.025101image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:36.675804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:40.742854image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:45.246376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:49.408796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:53.967443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:24:58.189256image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:02.569578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:06.917162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-03-14T16:25:11.419592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-03-14T16:25:29.467588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
GenderAgeEducationWorkCardiac_Arrest_AdmissionNon_Cardiac_ConditionHypertensionDyslipidemiaDMYear_DM_DiagnosedDM_DurationDM_TypeDM_TreatmentSmoking_HistoryHbA1C_Admission_ValueLipid_24_CollectedHeart_RateWaistFasting_Blood_Glucose_Value_SI_UnitsCholesterol_Value_SI_UnitsTriglycerides_Value_SI_UnitsBMICreatinine_Clearance
Gender1.000-0.158-0.0070.3780.012-0.010-0.208-0.122-0.1630.090-0.091-0.1600.047-0.146-0.1270.066-0.129-0.034-0.103-0.004-0.007-0.1710.105
Age-0.1581.000-0.034-0.540-0.0060.0900.2560.1170.121-0.2970.3000.1340.0010.2580.029-0.0810.040-0.1010.044-0.166-0.215-0.152-0.632
Education-0.007-0.0341.0000.053-0.0060.018-0.006-0.036-0.0020.006-0.007-0.006-0.027-0.018-0.0130.0080.0080.003-0.0240.022-0.0130.0310.033
Work0.378-0.5400.0531.0000.010-0.055-0.235-0.114-0.1610.208-0.208-0.1740.026-0.178-0.1050.062-0.0600.023-0.0970.1170.1300.0540.400
Cardiac_Arrest_Admission0.012-0.006-0.0060.0101.0000.1180.008-0.0170.012-0.0090.007-0.0110.025-0.020-0.006-0.0180.057-0.0270.0450.0150.013-0.011-0.033
Non_Cardiac_Condition-0.0100.0900.018-0.0550.1181.0000.0680.0250.052-0.0530.0550.035-0.0020.040-0.008-0.0170.116-0.0210.019-0.042-0.017-0.022-0.165
Hypertension-0.2080.256-0.006-0.2350.0080.0681.0000.3980.338-0.1120.1120.325-0.0380.1500.196-0.0010.1000.0870.135-0.1250.0110.107-0.224
Dyslipidemia-0.1220.117-0.036-0.114-0.0170.0250.3981.0000.331-0.0620.0670.320-0.0660.1140.2210.0220.0230.0830.120-0.0690.0840.096-0.093
DM-0.1630.121-0.002-0.1610.0120.0520.3380.3311.000-0.0200.0240.983-0.0260.1070.670-0.0160.1170.1100.424-0.1150.1030.135-0.097
Year_DM_Diagnosed0.090-0.2970.0060.208-0.009-0.053-0.112-0.062-0.0201.000-0.9950.070-0.053-0.072-0.0920.097-0.063-0.043-0.0120.1710.076-0.1140.214
DM_Duration-0.0910.300-0.007-0.2080.0070.0550.1120.0670.024-0.9951.000-0.0680.0440.0750.084-0.0970.0590.0450.012-0.173-0.0770.109-0.218
DM_Type-0.1600.134-0.006-0.174-0.0110.0350.3250.3200.9830.070-0.0681.000-0.0220.1000.667-0.0250.1090.1080.421-0.1200.0960.133-0.105
DM_Treatment0.0470.001-0.0270.0260.025-0.002-0.038-0.066-0.026-0.0530.044-0.0221.000-0.025-0.081-0.013-0.003-0.108-0.026-0.010-0.002-0.0290.010
Smoking_History-0.1460.258-0.018-0.178-0.0200.0400.1500.1140.107-0.0720.0750.100-0.0251.0000.0770.0020.024-0.0330.047-0.079-0.083-0.001-0.195
HbA1C_Admission_Value-0.1270.029-0.013-0.105-0.006-0.0080.1960.2210.670-0.0920.0840.667-0.0810.0771.000-0.0030.1120.1060.552-0.0050.1830.1420.009
Lipid_24_Collected0.066-0.0810.0080.062-0.018-0.017-0.0010.022-0.0160.097-0.097-0.025-0.0130.002-0.0031.000-0.0400.038-0.049-0.007-0.064-0.0180.057
Heart_Rate-0.1290.0400.008-0.0600.0570.1160.1000.0230.117-0.0630.0590.109-0.0030.0240.112-0.0401.000-0.0100.1300.0230.0030.047-0.061
Waist-0.034-0.1010.0030.023-0.027-0.0210.0870.0830.110-0.0430.0450.108-0.108-0.0330.1060.038-0.0101.0000.085-0.0150.1240.5110.263
Fasting_Blood_Glucose_Value_SI_Units-0.1030.044-0.024-0.0970.0450.0190.1350.1200.424-0.0120.0120.421-0.0260.0470.552-0.0490.1300.0851.0000.0460.2100.113-0.042
Cholesterol_Value_SI_Units-0.004-0.1660.0220.1170.015-0.042-0.125-0.069-0.1150.171-0.173-0.120-0.010-0.079-0.005-0.0070.023-0.0150.0461.0000.4000.0320.140
Triglycerides_Value_SI_Units-0.007-0.215-0.0130.1300.013-0.0170.0110.0840.1030.076-0.0770.096-0.002-0.0830.183-0.0640.0030.1240.2100.4001.0000.1600.162
BMI-0.171-0.1520.0310.054-0.011-0.0220.1070.0960.135-0.1140.1090.133-0.029-0.0010.142-0.0180.0470.5110.1130.0320.1601.0000.382
Creatinine_Clearance0.105-0.6320.0330.400-0.033-0.165-0.224-0.093-0.0970.214-0.218-0.1050.010-0.1950.0090.057-0.0610.263-0.0420.1400.1620.3821.000

Missing values

2023-03-14T16:25:16.726590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-03-14T16:25:17.512411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-03-14T16:25:17.987546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.